Evaluating reliability of ultra-short ECG indices of heart rate variability in diabetes mellitus patients

Nussinovitch, Udi; Cohen, Ohad; Kaminer, Keren; Ilani, Jacob; Nussinovitch, Naomi

doi:10.1016/j.jdiacomp.2012.05.001

Cited by 54 publications

(43 citation statements)

References 11 publications

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“…However, these analyses were from ECG segments that were preceded by a 5‐min stabilization period. Research from previous investigations (Nussinovitch et al ., , ; Esco & Flatt, ) and the current investigation together suggest that lnRMSSD may be measured with a 1‐min stabilization period followed by a 1‐min recording period.…”

Section: Discussionsupporting

confidence: 59%

“…Also relevant to the current study are recent investigations demonstrating that randomly selected 60‐s lnRMSSD segments within a standard 5‐min ECG recording period were no different from lnRMSSD Criterion among collegiate athletes (Esco & Flatt, ) and non‐athletes (Nussinovitch et al ., , ). However, these analyses were from ECG segments that were preceded by a 5‐min stabilization period.…”

Section: Discussionmentioning

confidence: 99%

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Heart rate variability stabilization in athletes: towards more convenient data acquisition

Flatt

Esco

2015

Clin Physio Funct Imaging

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Resting heart rate variability (HRV) is a potentially useful marker to consider for monitoring training status in athletes. However, traditional HRV data collection methodology requires a 5-min recording period preceded by a 5-min stabilization period. This lengthy process may limit HRV monitoring in the field due to time constraints and high compliance demands of athletes. Investigation into more practical methodology for HRV data acquisitions is required. The aim of this study was to determine the time course for stabilization of ECG-derived lnRMSSD from traditional HRV recordings. Ten-minute supine ECG measures were obtained in ten male and ten female collegiate cross-country athletes. The first 5 min for each ECG was separately analysed in successive 1-min intervals as follows: minutes 0-1 (lnRMSSD0-1 ), 1-2 (lnRMSSD1-2 ), 2-3 (lnRMSSD2-3 ), 3-4 (lnRMSSD3-4 ) and 4-5 (lnRMSSD4-5 ). Each 1-min lnRMSSD segment was then sequentially compared to lnRMSSD of the 5- to 10-min ECG segment, which was considered the criterion (lnRMSSDC riterion ). There were no significant differences between each 1-min lnRMSSD segment and lnRMSSDC riterion , and the effect sizes were considered trivial (ES ranged from 0·07 to 0·12). In addition, the ICC for each 1-min segment compared to the criterion was near perfect (ICC values ranged from 0·92 to 0·97). The limits of agreement between the prerecording values and lnRMSSDC riterion ranged from ±0·28 to ±0·45 ms. These results lend support to shorter, more convenient ECG recording procedures for lnRMSSD assessment in athletes by reducing the prerecording stabilization period to 1 min.

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Section: Discussionsupporting

confidence: 59%

Section: Discussionmentioning

confidence: 99%

Heart rate variability stabilization in athletes: towards more convenient data acquisition

Flatt

Esco

2015

Clin Physio Funct Imaging

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“…Munoz et al (22) showed that it is unnecessary to use recordings longer than 120 s to obtain accurate measurements of RMSSD and SDNN in healthy adults. In diabetes patients, a study demonstrated that HRV indices can be reliably obtained from 1-min stationary signals (20). …”

Section: Discussionmentioning

confidence: 99%

Ultra-short-term heart rate variability during resistance exercise in the elderly

Arêas

Caruso

Simões

et al. 2018

Braz J Med Biol Res

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Despite the appeal of ultra-short-term heart rate variability (HRV) methods of analysis applied in the clinical and research settings, the number of studies that have investigated HRV by analyzing R-R interval (RRi) recordings shorter than 5 min is still limited. Moreover, ultra-short-term HRV analysis has not been extensively validated during exercise and, currently, no indications exist for its applicability during resistance exercise. The aim of the present study was to compare ultra-short-term HRV analysis with standard short-term HRV analysis during low-intensity, dynamic, lower limb resistance exercise in healthy elderly subjects. Heart rate (HR) and RRi signals were collected from 9 healthy elderly men during discontinuous incremental resistance exercise consisting of 4-min intervals at low intensities (10, 20, 30, and 35% of 1-repetition maximum). The original RRi signals were segmented into 1-, 2-, and 3-min sections. HRV was analyzed in the time domain (root mean square of the of differences between adjacent RRi, divided by the number of RRi, minus one [RMSSD]), RRi mean value and standard deviation [SDNN] (percentage of differences between adjacent NN intervals that are greater than 50 ms [pNN50]), and by non-linear analysis (short-term RRi standard deviation [SD1] and long-term RRi standard deviation [SD2]). No significant difference was found at any exercise intensity between the results of ultra-short-term HRV analysis and the results of standard short-term HRV analysis. Furthermore, we observed excellent (0.70 to 0.89) to near-perfect (0.90 to 1.00) concordance between linear and non-linear parameters calculated over 1- and 2-min signal sections and parameters calculated over 3-min signal sections. Ultra-short-term HRV analysis appears to be a reliable surrogate of standard short-term HRV analysis during resistance exercise in healthy elderly subjects.

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“…RMSSD has been shown to be sensitive to changes in the parasympathetic arm of the autonomic nervous system and particularly suited to capture autonomic perturbation in anxiety disorders (35). RMSSD is ϴ known to be stable over short recording intervals (36) and is relatively free of the influences of respiration (37, 38). RMSSD was derived using RHRV 4.0 analysis software (http://rhrv.rforge.r-project.org/) for the duration of each resting state scanning period.…”

Section: Physiological Data Processingmentioning

confidence: 99%

Alterations in Amygdala-Prefrontal Functional Connectivity Account for Excessive Worry and Autonomic Dysregulation in Generalized Anxiety Disorder

Makovac

Meeten

Watson

et al. 2016

Biological Psychiatry

153

141

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Evaluating reliability of ultra-short ECG indices of heart rate variability in diabetes mellitus patients

Cited by 54 publications

References 11 publications

Heart rate variability stabilization in athletes: towards more convenient data acquisition

Heart rate variability stabilization in athletes: towards more convenient data acquisition

Ultra-short-term heart rate variability during resistance exercise in the elderly

Alterations in Amygdala-Prefrontal Functional Connectivity Account for Excessive Worry and Autonomic Dysregulation in Generalized Anxiety Disorder

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